Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing. Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00
Diploma in Graphic Design Course Overview The Diploma in Graphic Design provides comprehensive training in visual communication, combining essential design principles with modern digital techniques. This course equips learners with the skills to create compelling visual content across various media, including branding, advertising, and digital platforms. Learners will develop proficiency in industry-standard software, enhancing their ability to produce creative and professional designs. Emphasis is placed on creativity, conceptual thinking, and effective use of typography, colour theory, and layout design. By the end of the course, students will be confident in delivering high-quality graphic design projects that meet industry expectations, making them well-prepared to pursue roles in marketing, media, or freelance design. Course Description This course covers a broad spectrum of graphic design topics, including design theory, digital illustration, image editing, and layout composition. Learners will explore branding strategies, visual identity creation, and the fundamentals of user experience design. The structured learning experience encourages the development of critical thinking and problem-solving abilities, enabling students to communicate messages visually with impact. Students will gain familiarity with key design software and techniques to produce professional-quality work suitable for print and digital media. This diploma prepares learners for the creative demands of the design industry, fostering the technical skills and conceptual understanding necessary for career advancement or further specialised study in graphic design. Diploma in Graphic Design Curriculum Module 01: Introduction to Graphic Design Principles Module 02: Colour Theory and Typography Module 03: Digital Illustration and Vector Graphics Module 04: Image Editing and Photo Manipulation Module 05: Branding and Visual Identity Design Module 06: Layout and Composition for Print and Digital Media Module 07: User Experience and Interface Basics Module 08: Portfolio Development and Presentation Skills (See full curriculum) Who is this course for? Individuals seeking to build a career in graphic design. Professionals aiming to enhance their creative and digital design skills. Beginners with an interest in visual communication and design. Marketing and media personnel wanting to improve design knowledge. Career Path Graphic Designer Brand Identity Designer Digital Media Specialist Visual Communication Officer Marketing and Advertising Coordinator Freelance Designer
Airport Ground Handling Management Course Overview: This comprehensive course on Airport Ground Handling Management equips learners with essential knowledge about the operational aspects of airport management. Covering a wide range of topics, from passenger terminal management to cargo handling and security protocols, the course provides a solid foundation for managing various airport functions effectively. Learners will gain valuable insights into the complex dynamics of airport operations, which are critical for maintaining seamless air travel. By completing this course, participants will develop the skills necessary to oversee ground handling activities, enhance customer service, and contribute to operational efficiency in the aviation industry. Course Description: The Airport Ground Handling Management course delves deep into essential areas of airport operations. Topics include passenger terminal management, airport components, cargo handling, and security measures, offering learners a comprehensive understanding of how each function contributes to overall airport efficiency. Learners will explore complex issues such as peak periods, airline scheduling, aviation noise control, and weather management, all within the context of sustainable airport practices. The course also addresses modern innovations in the aviation industry, equipping learners with up-to-date knowledge to meet the evolving demands of airport management. Upon completion, participants will gain the expertise required to manage and optimise airport ground operations, ensuring smooth, safe, and efficient passenger and cargo handling. Airport Ground Handling Management Curriculum: Module 01: Introduction to Airport Management Module 02: Airport Customer Service Module 03: Passenger Terminal Management Module 04: Airport Components Module 05: Airport Peaks and Airline Scheduling Module 06: Cargo Management Module 07: Aviation Noise Control Module 08: Weather Control Module 09: Sustainable Airport Management Module 10: Security Management Module 11: Innovation and Growth (See full curriculum) Who is this course for? Individuals seeking to build a career in airport management. Professionals aiming to advance their expertise in ground handling operations. Beginners with an interest in the aviation industry. Those looking to contribute to the efficient functioning of airports. Career Path Airport Ground Handling Supervisor Airport Operations Manager Airline Ground Operations Coordinator Cargo Operations Manager Airport Customer Service Manager Aviation Safety and Security Officer
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Level 2 Food Hygiene and Safety For Catering This Level 2 Food Hygiene and Safety For Catering course covers the essential rules and legal responsibilities that every professional in the catering sector should be aware of. Anyone who handles food in a professional setting must be familiar with food hygiene best practices to prevent food contamination and bacteria from spreading in the workplace. These include properly storing food, keeping ingredients at the proper temperature, and maintaining personal hygiene. This Level 2 Food Hygiene and Safety For Catering course is ideal for anyone who works or wants to work in the catering sector with food or drink. The Level 2 Food Hygiene and Safety For Catering course covers all aspects of controlling food safety hazards, including food storage, temperature control, food preparation, personal hygiene, and premises cleaning. Why choose this Level 2 Food Hygiene and Safety For Catering course from the School of Health Care? Self-paced course, access available from anywhere in the world. High-quality study materials that are easy to understand. Course developed by industry experts. After each module, there will be an MCQ quiz to assess your learning. Assessment results are generated automatically and instantly. 24/7 support is available via live chat, phone call, or email. Free PDF certificate after completing the course. Special Offers of this Level 2 Food Hygiene and Safety For Catering Course: This Level 2 Food Hygiene and Safety For Catering Course includes a FREE PDF Certificate. Lifetime access to this Level 2 Food Hygiene and Safety For Catering Course Instant access to this Level 2 Food Hygiene and Safety For Catering Course 24/7 Support Available to this Level 2 Food Hygiene and Safety For Catering Course Level 2 Food Hygiene and Safety For Catering Learning Outcomes After completing this Level 2 Food Hygiene and Safety For Cateringcourse, the learner will be able to: Gain a thorough understanding of food hygiene and safety precautions. Understand the law and regulations governing food safety in the United Kingdom. Gain a solid understanding of the microbiological hazards. Identify the risks and hazards of food storage, transportation, and planning. Know how to implement and maintain a strong food safety system at work. Demonstrate excellent knowledge of food temperature control. Know how to maintain a clean workplace, practice good personal hygiene, and set a high standard for all employees. Understand the food safety control system in the workplace. Who is this course for? Level 2 Food Hygiene and Safety For Catering This Level 2 Food Hygiene and Safety For Catering course is designed for anyone who works in the foodservice industry. It is also for people who want to work in the catering sector, which includes bars/pubs, restaurants, hotels, fast food outlets, etc. Requirements Level 2 Food Hygiene and Safety For Catering To enrol in this Level 2 Food Hygiene and Safety For Catering Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Level 2 Food Hygiene and Safety For Catering Course. Be energetic and self-motivated to complete our Level 2 Food Hygiene and Safety For Catering Course. Basic computer Skill is required to complete our Level 2 Food Hygiene and Safety For Catering Course. If you want to enrol in our Level 2 Food Hygiene and Safety For Catering Course, you must be at least 15 years old.